Epsilon-net method for optimizations over separable states

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

21 pages. Comments are welcome

Scientific paper

We give algorithms for the optimization problem: $\max_\rho \ip{Q}{\rho}$, where $Q$ is a Hermitian matrix, and the variable $\rho$ is a bipartite {\em separable} quantum state. This problem lies at the heart of several problems in quantum computation and information, such as the complexity of QMA(2). While the problem is NP-hard, our algorithms are better than brute force for several instances of interest. In particular, they give PSPACE upper bounds on promise problems admitting a QMA(2) protocol in which the verifier performs only logarithmic number of elementary gate on both proofs, as well as the promise problem of deciding if a bipartite local Hamiltonian has large or small ground energy. For $Q\ge0$, our algorithm runs in time exponential in $\|Q\|_F$. While the existence of such an algorithm was first proved recently by Brand{\~a}o, Christandl and Yard [{\em Proceedings of the 43rd annual ACM Symposium on Theory of Computation}, 343--352, 2011], our algorithm is conceptually simpler.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Epsilon-net method for optimizations over separable states does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Epsilon-net method for optimizations over separable states, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Epsilon-net method for optimizations over separable states will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-393205

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.